There are several statistical methods to handle censored data:
Kaplan-Meier Estimator: This non-parametric method estimates the survival function from censored data. It provides a way to visualize survival probabilities over time. Cox Proportional Hazards Model: This semi-parametric model assesses the effect of various covariates on the hazard or risk of the event occurring. It can handle both censored and uncensored data. Multiple Imputation: This method involves creating multiple datasets by imputing the missing event times and then analyzing each dataset separately. The results are combined to produce estimates that account for the uncertainty due to censoring.
